Optimisation algorithms for spatially constrained forest planning

doi:10.1016/j.ecolmodel.2005.10.028

CORC > 金属研究所 > 中国科学院金属研究所

	Optimisation algorithms for spatially constrained forest planning
	Liu, GL ; Han, SJ ; Zhao, XH ; Nelson, JD ; Wang, HS ; Wang, WY
刊名	ECOLOGICAL MODELLING
	2006-04-15
卷号	194 期号:4 页码:421-428
关键词	landscape design integrated forest resource planning harvest scheduling genetic algorithms simulated annealing
ISSN号	0304-3800
DOI	10.1016/j.ecolmodel.2005.10.028
通讯作者	Liu, GL(gliu@forestecosystem.ca)
英文摘要	We compared genetic algorithms, simulated annealing and hill climbing algorithms on spatially constrained, integrated forest planning problems. There has been growing interest in algorithms that mimic natural processes, such as genetic algorithms and simulated annealing. These algorithms use random moves to generate new solutions, and employ a probabilistic acceptance/rejection criterion that allows inferior moves within the search space. Algorithms for a genetic algorithm, simulated annealing, and random hill climbing are formulated and tested on a same-sample forest-planning problem where the adjacency rule is strictly enforced. Each method was randomly started 20 times and allowed to run for 10,000 iterations. All three algorithms identified good solutions (within 3% of the highest found), however, simulated annealing consistently produced superior solutions. Simulated annealing and random hill climbing were approximately 10 times faster than the genetic algorithm because only one solution needs to be modified at each iteration. Performance of simulated annealing was essentially independent of the starting point, giving it an important advantage over random hill climbing. The genetic algorithm was not well suited to the strict adjacency problem because considerable computation time was necessary to repair the damage caused during crossover. (c) 2005 Elsevier B.V. All rights reserved.
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000236693500009
内容类型	期刊论文
源URL	[http://ir.imr.ac.cn/handle/321006/126133]
专题	金属研究所_中国科学院金属研究所
通讯作者	Liu, GL
作者单位	1.Beijing Forestry Univ, Key Lab Silviculture & Conservat, Minist Educ, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Appl Forest Ecol, Shenyang, Peoples R China 3.Univ British Columbia, Fac Forestry, Vancouver, BC V6T 1Z4, Canada
推荐引用方式 GB/T 7714	Liu, GL,Han, SJ,Zhao, XH,et al. Optimisation algorithms for spatially constrained forest planning[J]. ECOLOGICAL MODELLING,2006,194(4):421-428.
APA	Liu, GL,Han, SJ,Zhao, XH,Nelson, JD,Wang, HS,&Wang, WY.(2006).Optimisation algorithms for spatially constrained forest planning.ECOLOGICAL MODELLING,194(4),421-428.
MLA	Liu, GL,et al."Optimisation algorithms for spatially constrained forest planning".ECOLOGICAL MODELLING 194.4(2006):421-428.